Changes in Low-Frequency Fluctuations in Patients with Antisocial Personality Disorder Revealed by Resting-State Functional MRI
نویسندگان
چکیده
Antisocial Personality Disorder (APD) is a personality disorder that is most commonly associated with the legal and criminal justice systems. The study of the brain in APD has important implications in legal contexts and in helping ensure social stability. However, the neural contribution to the high prevalence of APD is still unclear. In this study, we used resting-state functional magnetic resonance imaging (fMRI) to investigate the underlying neural mechanisms of APD. Thirty-two healthy individuals and thirty-five patients with APD were recruited. The amplitude of low-frequency fluctuations (ALFF) was analyzed for the whole brain of all subjects. Our results showed that APD patients had a significant reduction in the ALFF in the right orbitofrontal cortex, the left temporal pole, the right inferior temporal gyrus, and the left cerebellum posterior lobe compared to normal controls. We observed that the right orbitofrontal cortex had a negative correlation between ALFF values and MMPI psychopathic deviate scores. Alterations in ALFF in these specific brain regions suggest that APD patients may be associated with abnormal activities in the fronto-temporal network. We propose that our results may contribute in a clinical and forensic context to a better understanding of APD.
منابع مشابه
Brain Activity Map Extraction of Neuromyelitis Optica Patients Using Resting-State fMRI Data Based on Amplitude of Low Frequency Fluctuations and Regional Homogeneity Analysis
Introduction: Neuromyelitis Optica (NMO) is a rare inflammatory disease of the central nervous system which generally affecting the spinal cord and optic nerve. Damage to the optic nerve can result in the patient's dim vision or even blindness, while the spinal cord damage may lead to sensory and motor paralysis and the weakness of the lower limbs in the patient. Magnetic Reson...
متن کاملBrain Activity Map Extraction from Multiple Sclerosis Patients Using Resting-State fMRI Data Based on Amplitude of Low Frequency Fluctuations and Regional Homogeneity Analysis
Introduction: Multiple Sclerosis (MS) is the most common non-traumatic neurological diseases of young adults. MS often reported during ages 20-62. MS affects the various anatomical parts of the central nervous system. Up to 65% of multiple sclerosis patients MS patients suffer from various problems, such as fatigue, depression, pain and sleep disorders. Unlike MRI, that only sh...
متن کاملConverging Medial Frontal Resting State and Diffusion-Based Abnormalities in Borderline Personality Disorder.
BACKGROUND The psychological profile of patients with borderline personality disorder (BPD), with impulsivity and emotional dysregulation as core symptoms, has guided the search for abnormalities in specific brain areas such as the hippocampal-amygdala complex and the frontomedial cortex. However, whole-brain imaging studies so far have delivered highly heterogeneous results involving different...
متن کاملThe relationship between substance dependency, antisocial personality disorder and adult antisocial behaviors
Purpose: To examine the relationship between substance dependency and personality disorders. Materials and Methods: Ninety eight patients with substance dependency who had referred to a psychiatry and substance rehabilitation center in Tehran took part in this study. Data were collected using questionnaire and a semi-structured interview. Participants were examined for conduct and ant...
متن کاملCorrection: Identifying Individuals with Antisocial Personality Disorder Using Resting-State fMRI
Antisocial personality disorder (ASPD) is closely connected to criminal behavior. A better understanding of functional connectivity in the brains of ASPD patients will help to explain abnormal behavioral syndromes and to perform objective diagnoses of ASPD. In this study we designed an exploratory data-driven classifier based on machine learning to investigate changes in functional connectivity...
متن کامل